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Brain Tumor Detection
Author(s) -
Ms. Rajeshwari Bathe,
Mr. Shubham Sethiya,
Prof. Pavan Kulkarni
Publication year - 2019
Publication title -
ijarcce
Language(s) - English
Resource type - Journals
eISSN - 2319-5940
pISSN - 2278-1021
DOI - 10.17148/ijarcce.2019.8312
Subject(s) - brain tumor , neuroscience , computer science , psychology , artificial intelligence , medicine , pathology
Brain cancer develops because of unusual cell growth within the brain. Brain Cancer generally classified into two types benign and malignant tumours. Malignant Cancer are fast growing cancerous tissues. Benign are slow growing, stagnant cancerous Cancer. Most of the cancer are life threatening, brain tumour being one among them. Primary brain cancer originates in the brain. In the Secondary type of brain cancer the tumor expansion into the brain results from other parts of the body. Imaging brain cancer with more accuracy plays pivotal role in the diagnosis of tumours. It involves high resolution techniques like MRI , CT ,PET etc. MRI is a important mean for studying the body’s visceral structures . MRI is widely used because it gives better quality images of the brain and cancerous tissues compared with the other medical imaging techniques such as X-Ray or Computed Tomography (CT). In this proposed system we are creating python application for detection of brain cancer base on three step.1. Classification of MRI image to determining the brain cancer base on type.2.Prevention that should be taken to overcome this deadly disease.3.Care that should be taken by normal people to save themselves from brain cancer.

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